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Applied Statistics and Actuarial Science BS

Mihail Barbosu, Head, School of Mathematical Sciences
(585) 475-2123, mxbsma@rit.edu

Program overview

The applied statistics and actuarial science major provides students with a strong foundation in mathematical and statistical methodology, experience in its applications, a solid background in the use of statistical computing packages, and the skills to communicate the results of statistical analysis. This gives students an advantage in the fields of business, government, and industry, and also prepares them well for advanced study in graduate school.

Students collaborate with specialists in both scientific and non-technical areas to design and conduct experiments and interpret the results. Application areas are very diverse and include product design, biostatistics, actuarial science, quality control, and statistical forecasting.

Curriculum

Applied statistics and actuarial science, BS degree, typical course sequence

Course Sem. Cr. Hrs.
First Year
MATH-199 Mathematics and Statistics Seminar I 1
MATH-181 LAS Perspective 7A: Project-based Calculus I 4
MATH-182 LAS Perspective 7B: Project-based Calculus II 4
CSCI-101 Principles of Computing 3
  LAS Foundation 1: First Year Seminar† 3
  First Year Writing (WI) 3
  LAS Perspective 1, 2, 3 10
  Year One: College Experience 0
  Wellness Education* 0
Second Year
MATH-200 Discrete Mathematics with Introduction to Proofs 3
MATH-221 Multivariable and Vector Calculus 4
MATH-251, 252 Probability and Statistics I, II 6
MATH-241 Linear Algebra I 3
  Free Elective 3
  LAS Perspective 3, 4, 6‡ 10
  LAS Immersion 1 3
Third Year
MATH-255 Actuarial Mathematics 2
MATH-261 Topics in Math Finance 3
STAT-325 Design of Experiments (WI) 3
STAT-305 Regression Analysis 3
MATH-399 Math/Stat Job Search Seminar 0
STAT-511 Statistical Software 3
  Program Electives** 9
  LAS Immersion 1, 2 6
  Free Electives 6
Fourth Year
STAT-405, 406 Mathematical Statistics I, II 6
STAT-500 Capstone in Statistics (WI) 3
  LAS Immersion 3 3
  Program Electives** 12
  Free Elective 3
  LAS Electives 6
Total Semester Credit Hours 122

Please see New General Education Curriculum–Liberal Arts and Sciences (LAS) for more information.

(WI) Refers to a writing intensive course within the major.

* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two Wellness courses.

The First Year Seminar requirement is replaced by an LAS Elective for the 2015-16 academic year.

‡ Students will satisfy this requirement by taking either a 3 or 4 credit hour lab science course. If a science course consists of separate lecture and laboratory sections, students must take both the lecture and lab portions to satisfy the requirement.

**At least two of the program electives must be from the following set of courses: Stochastic Processes (MATH-401), Statistical Quality Control (STAT-315), Introduction to Time Series (STAT-335), Nonparametric Statistics (STAT-345), Statistical Sampling (STAT-415), Multivariate Analysis (STAT-425), or Statistical Linear Models (STAT-435).

Additional information

Minors

The flexibility of the applied statistics and actuarial science major allows students to complete a minor in science, liberal arts, or business, or to combine courses from various minors into a sequence tailored to their career aspirations.




Effective fall 2013, RIT converted its academic calendar from quarters to semesters.
View this program's information from the retired quarter calendar

Quarter Curriculum - For Reference Only

Effective fall 2013, RIT converted its academic calendar from quarters to semesters. The following content has been made available as reference only. Currently matriculated students who began their academic programs in quarters should consult their academic adviser for guidance and course selection.
 

Program overview

The Applied Statistics program provides students with a strong foundation in mathematical and statistical methodology, experience in its applications, a solid background in the use of statistical computing packages, and the skills to communicate the results of statistical analysis. This gives graduates an advantage in the fields of business, government, and industry, and also prepares them well for graduate studies.

Graduates of the program collaborate with specialists in both scientific and non-technical areas to design and conduct experiments and interpret the results. Application areas are very diverse and include product design, biostatistics, actuarial science, quality control, and statistical forecasting.

Curriculum

Semester conversion
Effective fall 2013, RIT will convert its academic calendar from quarters to semesters. Each program and its associated courses have been sent to the New York State Department of Education for approval of the semester plan. For reference, the following charts illustrate the typical course sequence for this program in both quarters and semesters. Students should consult their academic advisers with questions regarding planning and course selection.

Applied Statistics, BS degree, typical course sequence (quarters)

Course Qtr. Cr. Hrs.
First Year
1016-210, 211 Mathematics and Statistics Seminar 2
1016-281, 282, 283 Project-Based Calculus I, II, III 12
1016-265 Discrete Math I 4
1016-260 Statistical Computing with Excel and Minitab 2
4003-212 or 4003-241 Computer Science Option: 4
  Science Electives 12
  University-wide Electives 2
  Liberal Arts* 8
1105-051, 052 First-Year Enrichment 2
  Wellness Education† 0
Second Year
1016-305 Multivariable Calculus 4
1016-306 Differential Equations 4
1016-351 Probability 4
1016-352 Applied Statistics 4
1016-399 Co-op Seminar 0
  Mathematics Elective† 4
0307-442 Statistical Computing 4
1016-331 Linear Algebra I 4
Choose one of the following courses: 4
   1016-358    Statistical Quality Control  
   1016-457    Research Sampling Techniques  
0502-444 Technical Writing 4
  Liberal Arts* 16
Third Year
1016-432 Linear Algebra II 4
1016-354 Regression Analysis 4
1016-355 Design of Experiments 4
  Mathematics Elective† 4
  Liberal Arts* 8
  General Education Electives 8
1016-499 Cooperative Education (optional)§ Co-op
Fourth Year
1016-454 Nonparametric Statistics 4
  Mathematics Electives† 12
  University-wide Electives 6
  General Education Electives 6
  Liberal Arts* 4
1016-499 Cooperative Education (optional)§ Co-op
Fifth Year
1016-451, 452 Mathematical Statistics I, II 8
1016-555 Statistics Seminar 4
  Mathematics Elective‡ 4
  General Education Electives 8-12
1016-499 Cooperative Education (optional)§ Co-op
Total Quarter Credit Hours 188

* Please see Liberal Arts General Education Requirements for more information.

† Please see Wellness Education Requirement for more information.

‡ Up to 16 quarter credits of mathematics electives may be chosen from the applied mathematics application areas.

§ This program can be completed in four years if the cooperative education option is omitted.

Applied statistics, BS degree, typical course sequence (semesters), effective fall 2013

Course Sem. Cr. Hrs.
First Year
MATH-199 Mathematics and Statistics Seminar I (WI) 1
MATH-181 LAS Perspective 7A: Project-Based Calculus I 4
MATH-182 LAS Perspective 7B: Project-Based Calculus II 4
MATH-192 Discrete Mathematics with Introduction to Proof 3
STAT-155 Biostatistics 3
CSCI-101 Principles of Computing 3
  LAS Foundation 1: First-Year Seminar     3
ENGL-150 LAS Foundation 2: Writing Seminar  3
  LAS Perspective 1, 2 6
  Wellness Education* 0
Second Year
MATH-221 Multivariable and Vector Calculus     4
MATH-251, 252 Probability and Statistics I, II 6
MATH-241 Linear Algebra I 3
CQAS-511 Statistical Software 3
  LAS Perspective 3, 4, 5, 6† 12
  LAS Immersion 1 3
Third Year
STAT-345 Nonparametric Statistics 3
STAT-325 Design of Experiments (WI) 3
STAT-305 Regression Analysis 3
  Program Electives 9
  LAS Immersion 2, 3 6
  Free Electives 6
Fourth Year
STAT-405, 406 Mathematical Statistics I, II 6
STAT-415  Statistical Sampling  3
STAT-445 Statistics Seminar (WI) 3
  Program Electives 6
  LAS Electives 12
Total Semester Credit Hours 121

Please see New General Education Curriculum–Liberal Arts and Sciences (LAS) for more information.

(WI) Refers to a writing intensive course within the major.

* Please see Wellness Education Requirement for more information.

† Students will satisfy this requirement by taking either a 3 or 4 credit hour lab science course. If a science course consists of separate lecture and laboratory sections, students must take both the lecture and lab portions to satisfy the requirement.

Options

Applied statistics actuarial science option: This option prepares students for careers in the actuarial field of modeling, measuring, and managing risk. The goal is to provide the statistical and mathematical foundation to help graduates enter and succeed in this demanding field. Student's curriculum is tailored with carefully selected courses in other RIT colleges in finance, economics, and forecasting.

Applied statistics biostatistics option: This option provides students with the necessary experience in applied statistics and the biological sciences so students may pursue a career as a biostatistician or advanced study in biostatistics. Students learn about the applications of statistics and biology, medicine, and public health, as well as applications in the rapidly growing field of bioinformatics through course work and opportunities for research with faculty.

Minors: The flexibility of the applied statistics major also allows students to complete a science, liberal arts, or business minor or to create courses from various minors into a sequence tailored to your career aspirations.

Accelerated dual degree option

Students may be interested in combining the BS in applied statistics with an MS in applied and computational mathematics for an accelerated option that allows them to earn both degrees following one year of graduate study. A BS in applied statistics and an MS in applied statistics may also be earned through a dual degree option.